Comparison of LiDAR ground filtering algorithms – Mohammad Ebrahimian, MSc.
Mohammad Ebrahimian, MSc.
Master's thesis
Comparison of LiDAR ground filtering algorithms
Abstract:
Light detection and ranging (LiDAR) is a method and technology for determining distances that by applying ground filtering on it, high resolution of digital terrain model (DTM) could be generated. The aim of this study was to investigate the behavior of Multiscale Curvature Classification (MCC), Cloth Simulation Filtering (CSF) and Progressive Morphological Filter (PMF) ground filtering algorithms …more
Language used: English
Date on which the thesis was submitted / produced: 2. 4. 2023
Thesis defence
- Date of defence: 16. 5. 2023
- Supervisor: doc. Ing. Vítězslav Moudrý, Ph.D.
- Reader: Ondřej Lagner, Ph.D.
Citation record
ISO 690-compliant citation record:
EBRAHIMIAN, Mohammad. \textit{Comparison of LiDAR ground filtering algorithms}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Environmental Sciences. 2023. Available from: https://theses.cz/id/ubfufi/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Fakulta životního prostředíCzech University of Life Sciences Prague
Faculty of Environmental SciencesMaster programme / field:
Landscape Engineering / Landscape Planning
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